Misiejuk K., Scianna J., Kaliisa R., Vachuska K., & Shaffer D.W. (2021). Incorporating Sentiment Analysis with Epistemic Network Analysis to Enhance Discourse Analysis of Twitter Data.} In A. R. Ruis & S. B. Lee (Eds.) Advances in Quantitative Ethnography. ICQE 2021. Communications in Computer and Information Science, vol 1312. Springer, Cham. DOI: 10.1007/978-3-030-67788-6_26

Kaliisa R., Misiejuk K., Irgens G.A., & Misfeldt M. (2021) Scoping the Emerging Field of Quantitative Ethnography: Opportunities, Challenges and Future Directions. A. R. Ruis & S. B. Lee (Eds.) Advances in Quantitative Ethnography. ICQE 2021. Communications in Computer and Information Science, vol 1312. Springer, Cham. DOI: 10.1007/978-3-030-67788-6_1

Misiejuk, K., Wasson B., & Egelandsdal K. (2021). Using learning analytics to understand student perceptions of peer feedback. Computers in Human Behavior, 117. DOI: 10.1016/j.chb.2020.10665

Misiejuk, K. & Wasson, B. (2019). Building an ENA Model with Peer Assessment Data. In B. Eagan, M. Misfeldt & A. Siebert-Evenstone (Eds.) First International Conference on Quantitative Ethnography: Conference Proceedings Supplement (pp. 26-27). Madison, WI: The Society for Quantitative Ethnography. [Full Text]

Misiejuk, K. (2019). The Potential of Learning Analytics for Supporting Peer Assessment. In B. Eagan, M. Misfeldt & A. Siebert-Evenstone (Eds.) First International Conference on Quantitative Ethnography: Conference Proceedings Supplement (pp. 62-63). Madison, WI: The Society for Quantitative Ethnography. [Full Text]

Ferguson, R., Coughlan, T., Egelandsdal, K., Gaved, M., Herodotou, C., Hillaire, G., Jones, D., Jowers, I., Kukulska-Hulme, A., McAndrew, P., Misiejuk, K., Ness, I. J., Rienties, B., Scanlon, E., Sharples, M., Wasson, B., Weller, M. and Whitelock, D. (2019). Innovating Pedagogy 2019: Open University Innovation Report 7. Milton Keynes: The Open University. [Full Text]

Misiejuk, K. & Wasson, B. (2018) Challenges in Using Learning Analytics to Explore Peer Assessment Data. In 44th International Association for Educational Assessment Annual Conference Abstracts. Oxford, UK: International Association for Educational Assessment. [Abstract]

Misiejuk, K. (2018) The Potential of Learning Analytics to Support Peer Assessment. Doctoral Consortium. In A. Pardo, K. Bartimote, G. Lynch, S. Buckingham Shum, R. Ferguson, A. Merceron & X. Ochoa (Eds.), Companion Proceedings of the 8th International Conference on Learning Analytics and Knowledge. Sydney, Australia: Society for Learning Analytics Research. [Full Text]

Misiejuk, K. & Wasson, B. (2017). State of the Field Report on Learning Analytics. SLATE Report 2017-2. Bergen: Centre for the Science of Learning & Technology (SLATE). [Full Text]

Posters:

Misiejuk, K. & Wasson, B. (2019, October). Building an ENA Model with Peer Assessment Data. Poster Presented at the International Conference on Quantitative Ethnography 2019, Madison, Wisconsin, USA. 

Misiejuk, K. (2019, June). The Potential of Learning Analytics for Supporting Peer Assessment. Poster Presented at the the Learning Design, Technology and the Learning Sciences: a Research Colloquium, Beijing Normal University in Beijing, China. 

Misiejuk, K. (2019, June). The Potential of Learning Analytics for Supporting Peer Assessment. Poster Session Presented at the 15th EATEL Summer School on Technology Enhanced Learning 2019, Bari, Italy.

Misiejuk, K. (2018, March). The Potential of Learning Analytics to Support Peer Assessment. Poster Session Presented at the 8th International Conference on Learning Analytics and Knowledge, Sydney, Australia. [PDF]

Misiejuk, K. (2017, March). Mapping the Field of Educational Data Sciences. Analysis of the Proceedings from Educational Data Mining, Learning Analytics and Knowledge, and Learning at Scale. Poster Session Presented at the 1st LASI-Nordic, Bergen, Norway. [PDF]

Contributed to:

Lillejord S., Børte K., Nesje K. & Ruud E. (2018). Learning and Teaching with Technology in Higher Education – A Systematic Review. Oslo: Knowledge Centre for Education. [PDF]

Master’s thesis:

Misiejuk, K. (2017). Mapping the Field of Educational Data Sciences. Analysis of the Proceedings from Educational Data Mining, Learning Analytics and Knowledge, and Learning at Scale (Unpublished master’s thesis). Humboldt University of Berlin, Germany. [PDF]